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The central research focus of the NeuRonICS lab is to understand the principles of brain computation and to apply this understanding in electronic systems for building intelligent systems. Engineers have a lot to learn about computation from the brain, which has evolved over billions of years to solve difficult engineering problems. Efficient, parallel, low-power computation is a hallmark of the brain, and to be able to replicate this in electronic systems is one of the goals of the lab. Research interests of the lab span a broad range of subjects such as ASIC/FPGA VLSI design, analog IC design, brain-inspired algorithms, computational neuroscience, machine learning, and event-based sensors.